Overview
Weaviate is an open-source vector search engine built to serve machine learning applications that require contextual understanding of unstructured data. It is primarily targeted at developers and data scientists.
Key Features
Vector search, scalable architecture, RESTful APIs, secure deployment options, hybrid search support.
Pros
Open-source flexibility, scalable, supports hybrid search combining text-based and vector search, customizable, strong community support.
Cons
Complex setup for beginners, requires understanding of vector databases, dependent on external infrastructure for performance.
